Exam 10: Independent Groups T -Test

JJ just used an Independent groups t-test to analyze his data for his Master's degree and found that the t-value or his calculated t was equal to 3.05 based on his degrees of freedom of 60.The table t was 1.671 and he set his alpha level at .05 directional.Can he reject the null hypothesis and conclude the groups are significantly different.

Free

(Multiple Choice)

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Question 1

Correct Answer:

Verified

The standard error of the difference becomes smaller as the difference between the sample means decreases and the variability of scores in the populations increases.

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(True/False)

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Question 2

Correct Answer:

Verified

False

The standard error of the difference indicates how much _____ will occur,on the average.

Free

(Multiple Choice)

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Question 3

Correct Answer:

Verified

The mean of a sampling distribution of the difference between two independent means is always equal to the:

(Multiple Choice)

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Question 4

The _ represents the total amount of _ that exists in the data.

(Multiple Choice)

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Question 5

The estimated standard error of the difference is only influenced by the sample size.

(True/False)

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Question 6

If the sample size is different in the treatment and control groups then weighted variances should be used.

(True/False)

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Question 7

The independent groups t test is typically used to analyze the relationship between two variables when the independent variable has three or more levels.

(True/False)

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Question 8

If there is equal variance in groups or homogeneity of variance then the variance would be ó₁² = ó₂² = ó^2.

(True/False)

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Question 9

The standard deviation of the sampling distribution of the difference between two independent means is called the:

(Multiple Choice)

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Question 10

Treatment effects are defined as the difference between a given group mean and the grand mean.

(True/False)

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Question 11

The t statistic follows a t distribution when:

(Multiple Choice)

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Question 12

Unexplained variance or error variance reflects the influence of:

(Multiple Choice)

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Question 13

The test used to determine homogeneity of variance is called_________.

(Short Answer)

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Question 14

The mean of the sampling distribution of the difference between two independent means is _____ to the difference between the population means for the groups in question.

(Multiple Choice)

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Question 15

When researchers fail to present the value of eta squared in a manuscript,this information can still be derived by the reader based on the observed t value and the degrees of freedom.

(True/False)

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Question 16

In practice,we typically know the values of _,but we do not know the values of _.

(Multiple Choice)

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Question 17

Dr.Johnson is studying the effects of aspirin on heart rate.He believes that aspirin will lower heart rate.He has 2 groups the treatment group receives 80mg of aspirin for a week (n=4)the control group received a placebo (n=4)and their heart rates are compared.Below is his data in which heart rate is beats per minute.He sets his alpha level at 0.05 and uses a directional test. What is the t-value for the data above?

(Multiple Choice)

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Question 18

The nature of the relationship is determined by_____

(Multiple Choice)

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Question 19

What assumption is made so that the pooled variance estimate can be substituted for the population variances within the standard error of the differences formula?

(Multiple Choice)

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Question 20

Showing 1 - 20 of 149

The standard error of the difference becomes smaller as the difference between the sample means decreases and the variability of scores in the populations increases.

The standard error of the difference indicates how much _____ will occur,on the average.

The mean of a sampling distribution of the difference between two independent means is always equal to the:

The _ represents the total amount of _ that exists in the data.

The estimated standard error of the difference is only influenced by the sample size.

If the sample size is different in the treatment and control groups then weighted variances should be used.

The independent groups t test is typically used to analyze the relationship between two variables when the independent variable has three or more levels.

If there is equal variance in groups or homogeneity of variance then the variance would be ó₁² = ó₂² = ó^2.

The standard deviation of the sampling distribution of the difference between two independent means is called the:

Treatment effects are defined as the difference between a given group mean and the grand mean.

The t statistic follows a t distribution when:

Unexplained variance or error variance reflects the influence of:

The test used to determine homogeneity of variance is called_________.

The mean of the sampling distribution of the difference between two independent means is _____ to the difference between the population means for the groups in question.

When researchers fail to present the value of eta squared in a manuscript,this information can still be derived by the reader based on the observed t value and the degrees of freedom.

In practice,we typically know the values of _,but we do not know the values of _.

The nature of the relationship is determined by_____

What assumption is made so that the pooled variance estimate can be substituted for the population variances within the standard error of the differences formula?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 10: Independent Groups T -Test

The standard error of the difference becomes smaller as the difference between the sample means decreases and the variability of scores in the populations increases.

The standard error of the difference indicates how much _____ will occur,on the average.

The mean of a sampling distribution of the difference between two independent means is always equal to the:

The _____ represents the total amount of _____ that exists in the data.

The estimated standard error of the difference is only influenced by the sample size.

If the sample size is different in the treatment and control groups then weighted variances should be used.

The independent groups t test is typically used to analyze the relationship between two variables when the independent variable has three or more levels.

If there is equal variance in groups or homogeneity of variance then the variance would be ó12 = ó22 = ó2.

The standard deviation of the sampling distribution of the difference between two independent means is called the:

Treatment effects are defined as the difference between a given group mean and the grand mean.

The t statistic follows a t distribution when:

Unexplained variance or error variance reflects the influence of:

The test used to determine homogeneity of variance is called_________.

The mean of the sampling distribution of the difference between two independent means is _____ to the difference between the population means for the groups in question.

When researchers fail to present the value of eta squared in a manuscript,this information can still be derived by the reader based on the observed t value and the degrees of freedom.

In practice,we typically know the values of _____,but we do not know the values of _____.

The nature of the relationship is determined by_____

What assumption is made so that the pooled variance estimate can be substituted for the population variances within the standard error of the differences formula?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

The _ represents the total amount of _ that exists in the data.

If there is equal variance in groups or homogeneity of variance then the variance would be ó₁² = ó₂² = ó^2.

In practice,we typically know the values of _,but we do not know the values of _.